{
  "docId": "019dd923-5e88-73ef-bd5e-322116a94507",
  "docSlug": "d524d4be86d01ea1",
  "documentTitle": "2024 Investor Day",
  "authorId": "Avery-Dennison",
  "authorName": "Avery Dennison",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 38,
  "pageCount": 63,
  "prevPage": 37,
  "nextPage": 39,
  "slideType": "business_case",
  "function": "quantify_impact",
  "density": "balanced",
  "nDataPoints": 1,
  "notes": "The slide uses a visual metaphor of a rising staircase to represent growth drivers.",
  "elementsJson": [
    "headline_text",
    "big_number",
    "other"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5e-322116a94507/38",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5e-322116a94507",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5e-322116a94507.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5e-322116a94507#slide-38",
  "components": [
    {
      "bbox": {
        "h": 0.5,
        "w": 0.65,
        "x": 0.05,
        "y": 0.35
      },
      "kind": "chart",
      "text": "Growth drivers by segment: Apparel & General Retail, Logistics, Food, Other",
      "attrs": null,
      "subkind": "waterfall",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "eea756db-7da2-454d-bf88-ed394740808b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.2,
        "x": 0.75,
        "y": 0.15
      },
      "kind": "metric",
      "text": "~15%+ Organic Sales Growth",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ff8495e0-5509-4b32-80e2-6968da4c587b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Organic Sales Growth: 15%+",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-5beb-73c8-92a0-a201343243bc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.35,
        "x": 0.6,
        "y": 0.85
      },
      "kind": "source-note",
      "text": "(1) Long-term growth target is annualized over a horizon; growth in specific time periods is dependent on the timing of pipeline conversion and is likely to be uneven.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5e83f51d-7784-4486-9841-63c76bfef144",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.45,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "We expect to continue delivering significant sales growth in Intelligent Labels for many years",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "12fb87e7-75ca-4bc5-a8a4-aa072d73b2a7",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Build-Up (Gradatio)",
      "slug": "build-up-gradatio",
      "agent": "Storyteller",
      "layer": "loop",
      "matchId": "019dd95a-1b09-7403-ac4c-678ebf9335aa",
      "evidence": "Apparel -> Logistics -> Food -> Other ascending steps.",
      "confidence": 70
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1b09-7403-ac4c-5c82af169cdd",
      "evidence": "Title: 'We expect to continue delivering significant sales growth in Intelligent Labels for many years'.",
      "confidence": 80
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1b09-7403-ac4c-6063c5ce7f7b",
      "evidence": "Staircase steps of categories ascend toward 15%+ target.",
      "confidence": 75
    },
    {
      "name": "Waterfall chart",
      "slug": "waterfall-chart",
      "agent": null,
      "layer": "slide",
      "matchId": "179dcfc3-d75b-4193-8e85-4fd0c0f8a7eb",
      "evidence": "chart/waterfall: Growth drivers by segment: Apparel & General Retail, Logistics, Food, Other",
      "confidence": 0.9
    }
  ],
  "frameworks": [
    {
      "name": "waterfall-chart",
      "slug": null,
      "matchId": "5c539099-659f-4ae3-a3fa-aab43d95c2b7",
      "evidence": "The slide uses a step-up visual to represent cumulative growth drivers.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [
    {
      "to": 40,
      "from": 13,
      "beatId": "019dd95a-07a7-7579-bd63-8ff6fb542bfa",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "Five strategies + Materials Group + Solutions Group + Intelligent Labels deep-dive.",
      "position": 3,
      "confidence": 78,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 40,
      "from": 34,
      "beatId": "019dd95a-07a7-7579-bd63-a3a4eb7b0190",
      "arcName": "The Mountain",
      "arcSlug": "mountain",
      "beatName": "Climax",
      "beatSlug": "mountain-climax",
      "evidence": "RFID/Intelligent Labels positioned as headline growth engine.",
      "position": 3,
      "confidence": 55,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 38,
      "from": 31,
      "name": "Aha Moment",
      "slug": "03-aha-moment",
      "bestFor": "Data-heavy sections, research findings, analytical arguments",
      "matchId": "019dd95a-08f8-7619-ac2c-d037ad5c1a9f",
      "evidence": "Reducing-waste setup (p31-33) -> RFID leadership data (p34) -> 350B+ TAM (p35) -> insight: 15%+ Intelligent Labels growth (p38).",
      "position": 5,
      "objective": "RFID/Intelligent Labels: from waste problem to 15%+ growth insight",
      "structure": "The Problem/Question -> What the Data Shows -> The Insight",
      "confidence": 72,
      "description": "Establish a tension, present data, then deliver the insight that changes everything"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}